A convex nonlocal total variation regularization algorithm for multiplicative noise removal

A convex nonlocal total variation regularization algorithm for multiplicative noise removal

Abstract This study proposes a nonlocal total variation restoration method to address multiplicative noise removal problems. The strictly convex, objective, nonlocal, total variation effectively utilizes prior information about the multiplicative noise and uses the maximum a posteriori estimator (MA...

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Bibliographic Details
Main Authors: Mingju Chen, Hua Zhang, Qiang Han, Chen Cheng Huang
Format: Article
Language:English
Published: SpringerOpen 2019-01-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Multiplicative noise
Nonlocal total variation
Alternating minimization problem
Maximum a posteriori estimation
Online Access:http://link.springer.com/article/10.1186/s13640-019-0410-2

Internet

http://link.springer.com/article/10.1186/s13640-019-0410-2

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